Iterative method of determining a spatial distribution of...

Image analysis – Applications – 3-d or stereo imaging analysis

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C382S128000, C382S255000, C382S131000, C324S307000, C324S309000, C324S318000, C324S319000

Reexamination Certificate

active

10555576

ABSTRACT:
An iterative method determines a spatial distribution of values of a property of an object, and particularly values of its absorption, in an examination region, on the basis of measured values that values are acquired with a measuring device, and particularly with a computer tomograph. The reliability of each measured value is taken into account when this is done. The measured values can each be represented as a sum of values of the property that have each been multiplied by a proportional factor, the proportional factor being a measure of the proportion that a value of the property forms of the measured value. Each value of the property is approached by one iteration value at a time by setting each iteration value to a starting value and, in an iteration step, generating for each measured value a reference measured value, forming the difference between each reference measured value and the corresponding measured value, and multiplying this difference by a reliability parameter and projecting it backward into the examination region.

REFERENCES:
patent: 4984160 (1991-01-01), Saint Felix et al.
patent: 5253171 (1993-10-01), Hsiao et al.
patent: 5909476 (1999-06-01), Cheng et al.
patent: 6101236 (2000-08-01), Wang et al.
patent: 6320928 (2001-11-01), Vaillant et al.
patent: 6600801 (2003-07-01), Raupach
patent: 6754297 (2004-06-01), James
patent: 6986604 (2006-01-01), Sembritzki
patent: 7202663 (2007-04-01), Huang
patent: 2008/0063247 (2008-03-01), Griswold
Globally Convergent Algorithms for maximum a posteriori transmission tomography, IEEE 1995.
Algebraic reconstruction technique can be made by computationally efficient, IEEE 1993.
Algebraic Reconstruction Techniques Can Be Made Computationally Efficient, Hermon et al, IEEE.
Herman, G.T., et al.; Algebraic Reconstruction Techniques Can be Made Computationally Efficient; 1993; IEEE Trans. On Medical Imaging; 12(3)600-609.
Lange, K., et al.; Globally Convergent Algorithms for Maximum a posteriori Transmission Tomography; 1995; IEEE Trans. On Image Processing; 4(10)1430-1450.
Schmidlin, P., et al.; Computation of High Overrelaxation Parameters in Iterative Image Reconstruction; 1998; IEEE Trans. On Nuclear Medicine; 45(3)1737-1742.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Iterative method of determining a spatial distribution of... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Iterative method of determining a spatial distribution of..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Iterative method of determining a spatial distribution of... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3908673

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.